Summary
Work History
Education
Skills
Team Projects
School Experience
Self Esteem
Hobbies and Interests
Timeline
Generic

SHAN LIU

Sydney,NSW

Summary

Data Analyst Intern at Acegent Network Technology Co. with expertise in Python and SQL. Utilized Tableau for data visualization to enhance sales strategies and improve live broadcast performance. Bilingual in English and Mandarin, with strong analytical skills to identify trends and provide actionable insights for increased advertisement effectiveness. Demonstrated effective collaboration with team members and rapid skill acquisition.

Work History

Data Analyst Intern

Acegent Network Technology Co.
Shanghai
11.2023 - 02.2024
  • Generated daily and weekly reports for beauty brands, analyzing advertisement placements and live streaming sales on TikTok.
  • Conducted WIP analysis to evaluate effectiveness of advertisement placements against performance metrics.
  • Analyzed weekly live broadcast data by anchor to identify emerging sales trends.
  • Recommended anchor techniques and language to improve live broadcast performance.
  • Optimized sales strategies and promotional campaigns through thorough data analysis.

Education

Masters - Data Science and Engineering

University of New South Wales
Sydney, Australia
12.2026

Bachelor - Computer Science (Data Science)

University of Queensland
Brisbane, Australia
12.2024

Bachelor - Data Science and Big Data Technology

Nanjing University of Technology
Nanjing, China
07.2022

Skills

English and Mandarin proficiency

  • Basic Korean communication
  • Python programming
  • SQL database management
  • Tableau data visualization
  • Microsoft PowerPoint skills
  • Microsoft Excel skills

Team Projects

Develop an artificial intelligence-related digital art webpage that supports artists in interacting with the tool through text prompts and image uploads. The webpage provides reference search, style recognition, material arrangement functions, and runs as a side-by-side panel of the art creation software, supporting multi-device operation. The front-end uses React, CSS, JavaScript to develop a cross-platform interface that adapts to desktop, laptop, and iPad devices, back-end using Python to develop API, combined with TensorFlow and other open-source machine learning frameworks for image recognition, text processing, and style matching, as well as the combination of cloud computing, PHP to build a database to improve the web page and improve data security.

School Experience

  • Comprehensive database, developed a payment program for the bus fare system in SQL, and implemented a distributed database strategy
  • Data analytics and machine learning, conducted various levels of data analysis and machine learning applications

Self Esteem

  • Possesses solid professional knowledge reserves, excellent independent learning ability, self-discipline, and positive, good stress resistance ability
  • Strong organizational and teamwork skills, with a desire to apply professional knowledge to make a difference in the relevant field
  • Willingness to ask for advice, open-mindedness to learn, and a spirit of exploration of new knowledge and new fields

Hobbies and Interests

  • Reading
  • Music

Timeline

Data Analyst Intern

Acegent Network Technology Co.
11.2023 - 02.2024

Masters - Data Science and Engineering

University of New South Wales

Bachelor - Computer Science (Data Science)

University of Queensland

Bachelor - Data Science and Big Data Technology

Nanjing University of Technology
SHAN LIU